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87 lines
3.2 KiB
Plaintext
87 lines
3.2 KiB
Plaintext
7 months ago
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help for ^wsanova^ (STB-47: sg103)
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within subjects ANOVA, with zero or more between subjects factors
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-----------------------------------------------------------------
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^wsanova^ yvar wfact [weight] [^if^ exp] [^in^ range] , ^id(^svar^)^
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[^bet^ween^(^beffects^) wo^nly^(^weffects^) eps^ilon ^nom^atr ]
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^aweights^ and ^fweights^ are allowed; see help @weights@.
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Description
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-----------
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^wsanova^ performs a within subjects (repeated measures) analysis of variance for
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the response variable yvar classified by the within subjects factor wfact. The
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subjects are identified by the variable svar, and may be classified by one or
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more between subjects factors. Within subjects F tests can be adjusted for lack
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of sphericity using the Greenhouse-Geisser or Huynh-Feldt correction factor.
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Options
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-------
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^id(svar)^ declares that the variable svar uniquely identifies each subject to be
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used in the analysis. [Not optional.]
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^between(beffects)^ supplies a list of between subjects factors that classify the
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subjects, along with zero or more of their interactions. Up to 7 such fac-
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tors can be used; their interactions must be explicitly requested.
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^wonly(weffects)^ selects within subjects effects that should be included in the
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analysis. By default, wfact and all of its interactions with the elements
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of the ^between^ option are included.
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^epsilon^ requests that p-values for within subjects F-tests be adjusted for lack
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of sphericity using the Greenhouse-Geisser and Huynh-Feldt adjustment fac-
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tors. [Requires that yvar be non-missing for each subject.]
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^nomatr^ discards covariance and cell mean matrices at exit. The ^epsilon^ option
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creates a (pooled) covariance matrix WSAoV_ and a matrix WSAov_ of marginal
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means of yvar across levels of wfact. In addition, when there are between
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subjects factors epsilon creates a cell means matrix and a within group co-
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variance matrix for each distinct group of subjects; these matrices will be
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named WSAov1 WSAoV1, WSAov2 WSAoV2, ... . By default, all these matrices
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are left in memory; ^nomatr^ erases each of them before wsanova exits.
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Examples
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--------
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. ^wsanova lhist time, id(dog)^
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. ^predict resid, res^
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(One-way repeated measures ANOVA; save residuals in resid)
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. ^wsanova rtime trial, id(subj) between(age) epsilon^
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(Split-plot ANOVA, with subjects grouped by levels of age; adjust trial and
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age*trial F-tests for lack of sphericity)
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. ^wsanova rtime trial, id(subj) bet(age sex age*sex)^
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(Traditional analysis of a "two between, one within" design: age, sex, and
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age*sex as between effects; trial, trial*age, trial*sex, trial*age*sex as
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within effects; assume sphericity)
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. ^wsanova rtime trial, id(subj) bet(age sex) wonly(trial) eps nomatr^
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(Main effects only version of the last example; adjust the trial F-test for
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lack of sphericity, and discard the matrices used)
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Author
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------
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John R. Gleason
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Syracuse University
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Syracuse NY, USA
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loesljrg@@ican.net
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Also see
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--------
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STB: STB-47 sg103
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Manual: [R] anova; [R] predict
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On-line: ^help^ for @anova@, @predict@
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